Product Portfolio
ROBIN GITTENS
Summary
Senior Product Manager with 15+ years of experience driving the design and delivery of scalable B2B/B2C eCommerce SaaS and Cloud platforms that are both, desirable and usable for targeted customers. I leverage generative AI tools and technologies (Lovable, ChatGPT, Gemini, Claude) to accelerate research, synthesis, analysis, content creation, prototyping, collaboration, and roadmap decisions to optimize adoption, usage, conversion, and retention—prioritizing customer needs, business impact and technical feasibility.
Personal AI-Powered Project
An agentic team which transforms any idea into a prompt-ready action-plan.
Use LEAN techniques to shape your problems, value props., customer segments and more!
Incorporating the most commonly used prioritization frameworks to support your product strategy.
Define and execute your roadmap, GTM strategy and much more!
PRODUCT STORYTELLER
Robin Gittens
SUMMARY
A personal AI-powered product strategy tool I built in Lovable to help turn raw ideas into structured business plans, product narratives, MVP direction, launch strategy, and measurable roadmap thinking.
PROBLEM STATEMENT (PRIMARY)
Product teams experience friction when turning early ideas into clear, structured, and decision-ready product narratives, which results in scattered thinking, slower alignment, unclear MVP scope, and weaker confidence around roadmap, GTM, and investment decisions.
MY ROLE
I designed and built the tool as a product builder, prompt engineer, UX strategist, and AI workflow designer to demonstrate how AI can accelerate product discovery, strategy, and early-stage planning.
PRODUCT APPROACH
The tool can generate:
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Executive summary
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Vision, mission, and positioning
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Problem statement
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Personas and customer segments
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Value proposition
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Competitive landscape
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UX Personas, customer journeys
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AI orchestration workflows
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Metrics, KPIs, roadmap, launch plan, and risk mitigation
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MVP scope, user story maps
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Business model and pricing strategy
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Marketing, growth, and sales funnel
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Operations plan
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Technology direction
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Legal, privacy, and AI-guardrails
KEY DECISIONS
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Positioned AI as a strategy assistant, not a replacement for product judgment
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Designed outputs to support stakeholder alignment and early decision-making
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Made the workflow reusable across companies, teams, and product ideas
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Used Lovable to rapidly prototype a practical AI-enabled product tool
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Validated the tool through a real product concept: Poetique
IMPACT
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Discovery
Structures problems, personas, and customer needs
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Strategy
Frames positioning, MVP scope, roadmap, and business model
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AI workflow design
Turns repeatable PM thinking into reusable product logic
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Product building
Shows hands-on AI prototyping with Lovable
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Alignment
Creates decision-ready artifacts for teams and stakeholders
KEY TAKEAWAYS
Product Storyteller shows how I use AI to reduce ambiguity, accelerate product thinking, and build practical tools that help teams move from idea to strategy faster.
Request a demo of 'Product Storyteller' and the app it inspired to build 'Poetique' (currently being tested).
Products Launched: Case 1
PRISM AI
NBCUniversal
CONTEXT
Company
NBCUniversal
Product
Prism Portal
Target Users (Internal)
HR, Legal, Finance, Advertising
Environment
Large, compliance-heavy enterprise with siloed systems and manual workflows
SUMMARY
A $30M enterprise AI platform helping internal teams reduce manual work, access trusted information, and adopt AI responsibly across HR, Legal, Finance, Advertising, and Product Operations.
PROBLEM STATEMENT (PRIMARY)
Internal business users across HR, Legal, Finance, and Advertising experience slow, repetitive, and fragmented workflows when searching for information, reviewing tickets, or configuring campaigns, which results in wasted time, lower confidence, and greater risk of error.
MY ROLE
I helped lead UX discovery, roadmap prioritization, analytics strategy, and Agile delivery across Product Operations, UX, Engineering, Data Science, Analytics, and leadership.
PRODUCT APPROACH
I combined:
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Empathy-mapping interviews
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KANO-style competitor analysis
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UAT feedback synthesis
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Pendo session and event analytics
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FigJam journey-based dashboarding
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MoSCoW, RICE, Now-Next-Later, and risk-severity prioritization
KEY DECISIONS
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Prioritized trust, response quality, and transparent sourcing before automation speed
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Strengthened early internal adoption before broader enterprise rollout
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Used research and product analytics to guide roadmap decisions
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Introduced Agile ways-of-working sessions to improve cross-team alignment
IMPACT
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User retention
+53% in 3 months
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Product Engagement Score
+24% in 3 months
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AI response quality
93.5% in 3 months
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Feature engagement
+328% in 3 months
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Active users
+86% in 3 months
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High-impact requests and bug fixes
90% delivered in 5 months
KEY TAKEAWAYS
Prism Portal shows how I lead product work in complex enterprise environments: clarify the problem, build trust with users, use evidence to prioritize, and help teams deliver measurable outcomes.
Products Launched: Case 2
OOMAX
Lambda Solutions
CONTEXT
Company
Lambda Solutions
Product
OOMAX
Target Users (Internal)
Corporate learners and EdTech customers (Administrators)
SUMMARY
A federated B2B IAM SaaS platform helping EdTech customers deliver branded, role-based access to segmented learning content across corporate, institutional, and learner communities.
PROBLEM STATEMENT (PRIMARY)
EdTech administrators experience friction when configuring segmented, branded learner experiences across different learner groups and access rules, which results in manual work, delayed onboarding, inconsistent workflows, and limited scalability.
MY ROLE
I owned customer discovery, MVP definition, admin UX improvements, and roadmap delivery for a B2B SaaS product that generated $20K in first-month sales revenue.
PRODUCT APPROACH
I combined:
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Customer discovery
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Zendesk support reviews
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8 internal stakeholder interviews
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Segment-based needs synthesis
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Value Proposition Canvas analysis
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MoSCoW, RICE, and DVP prioritization
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Continuous demos and feedback loops
KEY DECISIONS
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Prioritized admin usability and enrollment-code management before broader personalization
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Designed for desktop-first admin workflows where setup and configuration occurred
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Focused on scalable workflow patterns instead of one-off customer customization
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Used continuous discovery to reduce misalignment, risk, and rework
IMPACT
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First-month sales revenue
$20K generated
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Sprint velocity
35–41 across 20+ sprints
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Admin and learner usability
Reduced major interaction issues
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Stakeholder alignment
improved through demos and feedback loops
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Roadmap delivery
Accelerated through clearer intake and prioritization
KEY TAKEAWAYS
OOMAX shows how I approach B2B SaaS product work: clarify the admin problem, reduce workflow friction, focus the MVP, and turn usability into revenue leverage.
Products Launched: Case 3
Scholastic Canada
Rewardable Class Clode
CONTEXT
Company
Scholastic Canada
Product
Class Code: B2C e-commerce platform for K–12 educators and parents
Target Users (Internal)
Canadian K-12 educators and parents
Situation
COVID-driven shift to remote learning, and seasonal demand spikes
SUMMARY
A rewards-driven B2C e-commerce experience helping K–12 educators earn classroom rewards when parents purchased books online using a teacher’s unique class code.
PROBLEM STATEMENT (PRIMARY)
Parents experience friction when trying to find, apply, and reuse a teacher’s class code during the online shopping journey, which results in lower reward attribution, reduced adoption, checkout confusion, and increased customer-service demand.
MY ROLE
I led discovery, UX direction, roadmap decisions, and delivery with Marketing, Analytics, Design, Engineering, Inventory, and Customer Service to improve the mobile shopping and rewards experience.
PRODUCT APPROACH
I combined:
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Multi-channel customer feedback
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Customer-service call and email insights
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Social, phone, and web survey data
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Canadian e-commerce competitor reviews
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16 synthesized customer problem themes
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MoSCoW, DVP, Now-Next-Later, and risk-matrix prioritization
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High-fidelity prototypes for class code discovery, application, search refinement, and back-to-school onboarding
KEY DECISIONS
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Prioritized mobile-first shopping needs before desktop parity
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Used progressive disclosure to reduce friction and avoid feature overload
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Focused the MVP on reward attribution before social recognition
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Treated customer-service insights as early discovery signals
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Partnered with Marketing and Customer Service on language, tone, and rollout
IMPACT
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First-month online sales revenue
$50K generated
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Inbound customer-service calls
70% reduction
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Product findability
40% improvement
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Reward attribution Improved through clearer code application
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Stakeholder alignment Improved through bi-weekly roadmap reviews
KEY TAKEAWAYS
Class Code shows how I approach B2C commerce work: find the friction inside the customer journey, use service insights as discovery fuel, and turn small UX decisions into measurable business impact.